Modular models allow users to focus on biology rather than programming
Presenting BioCro II: an updated software package for modular crop growth simulations.
Rachel Shekar
Rachel (she/her) is a Founding and Managing Editor of in silico Plants. She has a Master’s Degree in Plant Biology from the University of Illinois. She has over 15 years of academic journal editorial experience, including the founding of GCB Bioenergy and the management of Global Change Biology. Rachel has overseen the social media development that has been a major part of promotion of both journals.
Integrative and Multiscale Modelling Special Issue: Call for Papers
in silico Plants is calling for papers for a special issue on integrative and multiscale modelling. This special issue will aim to publish research describing improved and newly developed multiscale models and tools.
A trick of the light: Optimizing light quality conditions speeds plant growth
Model identifies optimal light conditions to manipulate the circadian clock.
We’re looking for new editors
Want to spread the word about Botany, or know somebody who won’t shut up about plants? We have the perfect role. Deadline May 3, 2022
Simulating mangrove light interception
3D reconstruction of mangrove tree phyllotaxis from digitized plants yields novel data.
Simulación de la interceptación de la luz en los manglares
La reconstrucción en 3D de la filotaxis de los manglares a base de plantas digitalizadas arroja datos novedosos.
Simulation der Lichtabsorption durch Mangroven
It’s all connected: modeling water potential and plant physiological processes
“As water potential is regarded the best indicator of plant water status, because it is the integrated result of above- and below-ground environmental conditions, it holds promise as a pivotal model variable to which other plant processes respond.”
Modelling ecosystem services of diversified agriculture
Combining modelling approaches to better understand cultivated plant community functioning
Computational model predicts soybean response to climate change
A successful plant model has now been parameterized to include soybean growth under elevated CO2.
Creating visually realistic plant images to train neural networks
An interactive method for creating and calibrating developmental plant models expressed using L-systems
Deep learning techniques used to predict missing data
A new model produces 3D trees that are close to reality using predicted data.
A new virtual modeling environment for plant models
The use of Jupyter notebooks makes model creation and execution more accessible.
Measuring the hidden phenotype using novel mathematical techniques
A new study quantifies the shape of barley seeds using topological methods.